Version 0.4.0

What's Changed

• Adding activation functions and fast LUT implementation by @jfsantos in #177
• Added multichannel PReLU by @jfsantos in #179
• Added gating activation classes by @jfsantos in #180
• Benchmarking report by @sdatkinson in #182
• [BREAKING] Conv1D manages its own ring buffer by @sdatkinson in #181
• [FEATURE] Grouped convolutions by @sdatkinson in #183
• [FEATURE] Grouped convolutions for Conv1x1, WaveNet groups_1x1 hyperparameter by @sdatkinson in #184
• [FEATURE] bottlenecks in WaveNet layers by @sdatkinson in #185
• [FEATURE] Support multi-input, multi-output models by @sdatkinson in #187
• Head 1x1 convolution by @jfsantos in #189
• [FEATURE] Optionally process WaveNet conditions with another WaveNet by @sdatkinson in #190
• [FEATURE] Integrate gating & blending activations into WaveNet by @sdatkinson in #193
• Configurable activations by @jfsantos in #194
• [FEATURE] FiLMs in wavenet::Layer by @sdatkinson in #196
• Fix bugs, add an end-to-end test with a model with all new features by @sdatkinson in #198
• Add documentation by @sdatkinson in #200
• Bump .nam file supported to 0.6.0 by @sdatkinson in #203
• [FEATURE] Softsign activation by @sdatkinson in #205
• [FEATURE] WaveNet: Allow different activations, gating modes, and secondary activations in each layer of a layer array by @sdatkinson in #207
• Refine WaveNet constructors by @sdatkinson in #208
• Add features to wavenet_a2_max.nam by @sdatkinson in #209
• [FEATURE] Grouped 1x1 convolutions in FiLM modules by @sdatkinson in #211
• [FEATURE] WaveNet: Make layer1x1 (formerly 1x1) optional, rename .nam key "head_1x1" to "head1x1" by @sdatkinson in #214
• [BUGFIX] Fix performance hit for grouped convolutions by @sdatkinson in #216
• [ENHANCEMENT] Optimized depthwise convolutions by @sdatkinson in #217

Known issues

Grouped convolutions are slower than they should be except in the depthwise case (#215)

New Contributors

• @jfsantos made their first contribution in #177

Full Changelog: v0.3.0...v0.4.0.rc2

Version 0.4.0

This is a release candidate. It may not be stable yet.

What's Changed

• Adding activation functions and fast LUT implementation by @jfsantos in #177
• Added multichannel PReLU by @jfsantos in #179
• Added gating activation classes by @jfsantos in #180
• Benchmarking report by @sdatkinson in #182
• [BREAKING] Conv1D manages its own ring buffer by @sdatkinson in #181
• [FEATURE] Grouped convolutions by @sdatkinson in #183
• [FEATURE] Grouped convolutions for Conv1x1, WaveNet groups_1x1 hyperparameter by @sdatkinson in #184
• [FEATURE] bottlenecks in WaveNet layers by @sdatkinson in #185
• [FEATURE] Support multi-input, multi-output models by @sdatkinson in #187
• Head 1x1 convolution by @jfsantos in #189
• [FEATURE] Optionally process WaveNet conditions with another WaveNet by @sdatkinson in #190
• [FEATURE] Integrate gating & blending activations into WaveNet by @sdatkinson in #193
• Configurable activations by @jfsantos in #194
• [FEATURE] FiLMs in wavenet::Layer by @sdatkinson in #196
• Fix bugs, add an end-to-end test with a model with all new features by @sdatkinson in #198

New Contributors

• @jfsantos made their first contribution in #177

Full Changelog: v0.3.0...v0.4.0.rc1

Thanks to TONE3000 for supporting the development of this release!

Version 0.3.0

What's Changed

• [BUGFIX] Fix some wrongly-private attributes in WaveNet by @sdatkinson in #139
• [BUGFIX] Eliminate real-time allocations in WaveNet by @sdatkinson in #141
• Update nlohmann/json to Version 3.12.0 by @sdatkinson in #152
• Fix the build by @sdatkinson in #153
• Update build to use C++20 by @sdatkinson in #155
• [FEATURE] Ability to register new factories into get_dsp() by @sdatkinson in #156
• [FEATURE] Exponse some additional attributes by @sdatkinson in #162
• Add build status badge to README by @Khalian in #163

New Contributors

• @Khalian made their first contribution in #163

Full Changelog: v0.2.0...v0.2.1

Version 0.2.0

What's Changed

• [BUGFIX] Fix gated activation code by @sdatkinson in #102
• Bug fix renaming param in header to implementation by @dhilanpatel26 in #106
• simplify vector load from json by @shaforostoff in #105
• Fix wavenet head check by @mikeoliphant in #108
• Remove nam::DSP::finalize_() by @sdatkinson in #110
• Define nam::DSP::Reset and nam::DSP::ResetAndPrewarm by @sdatkinson in #111
• More efficient pre-warming using multiple-sample buffers by @sdatkinson in #112
• [BREAKING] Remove config_path as input to GetWeights by @sdatkinson in #119
• CI: Test loading and running models by @sdatkinson in #120
• [FEATURE] Define input and output level calibration functionality for DSP by @sdatkinson in #121
• [ENHANCEMENT] get_dsp: Set input and output levels while loading models by @sdatkinson in #122
• [Chore] Formatting by @sdatkinson in #128
• [FEATURE] Add support for LeakyReLU activation by @sdatkinson in #127
• [BUGFIX] Handle when calibration fields are present but null-valued by @sdatkinson in #130
• [BUGFIX] Fix gated activations in WaveNet by @sdatkinson in #131

New Contributors

• @dhilanpatel26 made their first contribution in #106
• @shaforostoff made their first contribution in #105

Full Changelog: v0.1.0...v0.2.0

Version 0.1.0

Version 0.1.0

What's Changed

• Pre-warm WaveNet on creation over the size of the receptive field by @mikeoliphant in #71
• [BREAKING] Remove dsp/ by @sdatkinson in #75
• [BREAKING ]Processing interface cleanup by @mikeoliphant in #78
• [BREAKING] Remove _process_core() and output normalization by @mikeoliphant in #80
• [BREAKING] Remove TARGET_DSP_LOUDNESS by @sdatkinson in #85
• [BREAKING] Remove constructors with loudness by @sdatkinson in #87
• [BUGFIX] Fix LSTM input-output reversal by @sdatkinson in #92
• Move pre-warm to DSP and call it in get_dsp() by @mikeoliphant in #90
• [BREAKING] Add nam namespace by @sdatkinson in #93
• [BREAKING] Remove parametric modeling code by @sdatkinson in #95

Full Changelog: v0.0.1...v0.1.0-rc.1

Version 0.0.1

What's Changed

• Added Hardtanh activation function by @mikeoliphant in #14
• Separate core NAM code from other plugin dsp code by @sdatkinson in #21
• Remove iplug2 dependency by @sdatkinson in #22
• Handle PAD chunk by @sdatkinson in #20
• Output loudness normalization by @sdatkinson in #18
• Removed unused numpy code by @mikeoliphant in #23
• fabs->fabsf in fast tanh by @mikeoliphant in #24
• Formatting by @sdatkinson in #25
• Separate out convnet by @mikeoliphant in #26
• Activation function refactor by @mikeoliphant in #28
• Method to determine whether model has loudness data by @pawelKapl in #33
• Support loading WAV files with "fact" chunk by @sdatkinson in #37
• Activation constructor/destructor cleanup by @mikeoliphant in #32
• Read WAV files via allow-list of chunks by @sdatkinson in #39
• Support all v0.5 models regardless of patch version by @sdatkinson in #41
• Add wav error message string function to dsp::wav by @olilarkin in #42
• Define WaveNet and LSTM destructors by @sdatkinson in #44
• dspStruct pull request by @masqutti in #46
• Add fast tanh and fast sigmoid to LSTM by @mikeoliphant in #43
• Add CMake build tools by @mikeoliphant in #34
• Fix minor incompatibilities with clang/g++ build on Linux by @daleonov in #50
• Fix memory issues by @sdatkinson in #55
• Fix compiler warnings by @falkTX in #53
• Implement expected sample rate for DSP class by @sdatkinson in #60
• Allow NAM_SAMPLE_FLOAT to switch model input to float instead of double by @mikeoliphant in #48
• DSPs prepared for loading persisted models by @pawelKapl in #35
• Fix some wav impulse files would sometimes fail to load ... by @fab672000 in #63
• High-pass and low-pass filters by @sdatkinson in #66
• ImpulseResponse::GetSampleRate by @sdatkinson in #70
• Allow defining DSP_SAMPLE_FLOAT to have dsp classes use float I/O by @mikeoliphant in #68
• Virtual destructor to dsp::DSP by @sdatkinson in #72
• Fix some buffers having uninitialized contents after resizing by @daleonov in #51

New Contributors

• @mikeoliphant made their first contribution in #14
• @pawelKapl made their first contribution in #33
• @olilarkin made their first contribution in #42
• @masqutti made their first contribution in #46
• @daleonov made their first contribution in #50
• @falkTX made their first contribution in #53
• @fab672000 made their first contribution in #63

Full Changelog: v0.0.0...v0.0.1

Version 0.0.0

Core library as of NeuralAmpModelerPlugin v0.7.1

What's Changed

• Support loading IEEE 32-bit WAV files by @sdatkinson in #9
• Reduce gain of IRs by @sdatkinson in #11

Full Changelog: https://github.com/sdatkinson/NeuralAmpModelerCore/commits/v0.0.0